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Direct linkTaichi Yamashita – Language Testing, 2025
With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
Goral, Despina P.; Bailey, Alison L. – Language Testing, 2019
Students' self-assessment of language features in their oral explanations of a mathematics task was supported by language learning progressions. Learning progressions map a continuum of knowledge or skills development as they increase in sophistication over time. Learning progressions can be a framework to support formative assessment by both…
Descriptors: Self Evaluation (Individuals), Language Acquisition, Learning Processes, Skill Development
Barkaoui, Khaled – Language Testing, 2019
This study aimed to examine the sources of variability in the second-language (L2) writing scores of test-takers who repeated an English language proficiency test, the Pearson Test of English (PTE) Academic, multiple times. Examining repeaters' test scores can provide important information concerning factors contributing to "changes" in…
Descriptors: Second Language Learning, Writing Tests, Scores, English (Second Language)
Yoo, Hanwook; Manna, Venessa F.; Monfils, Lora F.; Oh, Hyeon-Joo – Language Testing, 2019
This study illustrates the use of score equity assessment (SEA) for evaluating the fairness of reported test scores from assessments intended for test takers from diverse cultural, linguistic, and educational backgrounds, using a workplace English proficiency test. Subgroups were defined by test-taker background characteristics that research has…
Descriptors: English (Second Language), Second Language Learning, Culture Fair Tests, Test Validity
Koo, Jin; Becker, Betsy Jane; Kim, Young-Suk – Language Testing, 2014
In this study, differential item functioning (DIF) trends were examined for English language learners (ELLs) versus non-ELL students in third and tenth grades on a large-scale reading assessment. To facilitate the analyses, a meta-analytic DIF technique was employed. The results revealed that items requiring knowledge of words and phrases in…
Descriptors: Test Bias, Reading Tests, English Language Learners, Native Speakers
Aryadoust, Vahid; Zhang, Limei – Language Testing, 2016
The present study used the mixed Rasch model (MRM) to identify subgroups of readers within a sample of students taking an EFL reading comprehension test. Six hundred and two (602) Chinese college students took a reading test and a lexico-grammatical knowledge test and completed a Metacognitive and Cognitive Strategy Use Questionnaire (MCSUQ)…
Descriptors: Foreign Countries, College Students, Item Response Theory, Reading Comprehension
Sundqvist, Pia; Wikström, Peter; Sandlund, Erica; Nyroos, Lina – Language Testing, 2018
The present paper looks at the issue of standardization in L2 oral testing. Whereas external examiners are frequently used globally, some countries opt for test-takers' own teachers as examiners instead. In the present study, Sweden is used as a case in point, with a focus on the mandatory, high-stakes, summative, ninth-grade national test in…
Descriptors: Oral Language, Standards, Second Language Learning, Language Tests
